Orchestrating Workflow

Build execution plans from tasks.md using a Directed Acyclic Graph.

1|2|Updated Feb 5, 2026
One-click install
npx skills add https://github.com/7a336e6e/skills --skill orchestrating-workflow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Orchestrating Workflow
Source: https://github.com/7a336e6e/skills/tree/main/agent-manager/orchestrating-workflow
Command: npx skills add https://github.com/7a336e6e/skills --skill orchestrating-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires ../../shared/task-tracking/SKILL.md, ../delegating-tasks/SKILL.md.

What problem does it solve?

This Skill tackles the complexity of managing multiple tasks that depend on each other, ensuring they are executed in the correct order and maximizing efficiency by running independent tasks in parallel.

Core Features & Use Cases

  • Dependency Management: Visualizes and enforces task dependencies using a Directed Acyclic Graph (DAG).
  • Parallel Execution: Identifies and schedules independent tasks to run concurrently, speeding up overall workflow completion.
  • Workflow Monitoring: Tracks task progress, identifies blocked tasks, and facilitates their resolution.
  • Use Case: When building a new feature, this Skill can ensure the backend API is built before the frontend consumes it, while also allowing the database schema migration to run in parallel with the API implementation.

Quick Start

Use the orchestrating workflow skill to build an execution plan for the tasks listed in tasks.md.

Frequently Asked Questions about Orchestrating Workflow

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage task dependencies and parallel execution in a complex project?

Manage task dependencies by building and traversing a Directed Acyclic Graph (DAG) to determine execution waves. This approach identifies independent tasks and schedules them to run concurrently, optimizing overall workflow throughput.

What is a DAG and how does it help with workflow orchestration?

A Directed Acyclic Graph (DG) is a structural representation of tasks and their dependencies. In workflow orchestration, it visually maps execution order, enforces prerequisites, and identifies which tasks can safely run in parallel.

How do I create an execution plan for tasks listed in tasks.md?

Create an execution plan by feeding tasks.md into a workflow orchestration process. The system parses the task list, constructs a dependency graph, and outputs a sequential or parallel execution schedule.

Can I run database migrations concurrently with backend API implementation?

Yes, independent tasks like database schema migrations and backend API implementation can run concurrently. The orchestration system identifies tasks without mutual dependencies and schedules them in parallel execution waves.

What is the best way to track blocked tasks during parallel workflow execution?

Track blocked tasks using a robust task tracking system integrated with the workflow orchestrator. It monitors task progress across the dependency graph, flags blocked items, and facilitates their resolution.

Do I need a task tracking system to use workflow orchestration?

Yes, a robust task tracking system is required. Workflow orchestration relies on it to monitor progress, manage resource allocation, and resolve blocked tasks within the Directed Acyclic Graph execution waves.